Linkedin Jobs Scraper avatar
Linkedin Jobs Scraper

Pricing

$9.99/month + usage

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Linkedin Jobs Scraper

Linkedin Jobs Scraper

Developed by

CrawlerForge

CrawlerForge

Maintained by Community

Powerful LinkedIn job scraper that extracts detailed listings in seconds. Collect titles, companies, descriptions, and dates automatically — ideal for market research, job analytics, or HR insights. Fast, reliable, and easy to use on Apify.

5.0 (1)

Pricing

$9.99/month + usage

0

1

1

Last modified

2 days ago

🧠 LinkedIn Jobs Scraper

Extract job listings directly from LinkedIn with full details — titles, companies, locations, posting dates, descriptions, applicants count, and more.


🚀 Features

Fast & reliable — Handles 50–200 job listings in just a few minutes.
Detailed output — Includes job descriptions, applicants, and posting dates.
Configurable — Set keyword, location, max jobs, and batch size for parallel scraping.
CSV & JSON export — Automatically saves data in Apify Dataset and CSV file.
Automatic login — Logs into LinkedIn and reuses saved sessions for faster runs.


🧩 Input parameters

ParameterTypeDescription
keywordstringKeyword to search for (e.g., “data engineer”).
locationstringLocation of the job search (e.g., “France”).
maxJobsintegerMaximum number of job posts to scrape (default: 50).
fetchDetailsbooleanWhether to open each job and extract details (description, applicants, date, etc.).
batchSizeintegerNumber of job detail pages opened in parallel. Recommended: 3 for optimal performance.

📊 Output data

Each job entry includes the following fields:

{
"title": "Data Engineer",
"company": "Company Name",
"location": "Paris, Île-de-France, France",
"url": "https://www.linkedin.com/jobs/view/123456789",
"description": "Full job description text...",
"applicants": "34",
"postedDate": "2025-10-21T09:15:00.000Z",
"postedDateRaw": "il y a 1 semaine",
"companyLogo": "https://media.licdn.com/logo.png",
"scrapedAt": "2025-10-28T10:00:00.000Z"
}

🧰 Use cases

• Market research for job demand across industries.
• Tracking hiring trends and company growth.
• Competitive analysis of hiring patterns.
• Feeding job data into dashboards or AI tools.
• Lead generation for recruiters or consultants.